Transferability of Machine Learning Models for Geogenic Contaminated Groundwaters.

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作者： Hailong,Cao ^[1] ; Xianjun,Xie ^[2] ; Ziyi,Xiao ^[3] ; Wenjing,Liu ^[2]

作者单位： College of Resources and Environment, Yangtze University, Wuhan 430100, China. ^[1] State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution, China University of Geosciences, Wuhan 430078, China. ^[2] School of Environmental Studies, China University of Geosciences, Wuhan 430074, China. ^[3] School of Environmental & Resource Sciences, Shanxi University, Taiyuan 030006, China. ^[4]

关键词 data informing fluoride geogenic contaminated groundwater machine learning transferability

主题词水污染物, 化学性(Water Pollutants, Chemical);模型, 理论(Models, Theoretical);环境监测(Environmental Monitoring)

DOI 10.1021/acs.est.4c01327

PMID 38718173

发布时间 2024-05-21

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